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freeman
2011 Jan 10
3
Memory Needed for Regression
I'm looking for a formula for memory usage in standard regression; that
is, if I have X rows with Y predictors, how much memory is needed? I'm
speccing out a system, and I'd like to be able to get enough memory
that we can do some fairly large regressions.
==Ed Freeman
[[alternative HTML version deleted]]
2010 May 13
1
results of pnorm as either NaN or Inf
I stumbled across this and I am wondering if this is unexpected behavior
or if I am missing something.
> pnorm(-1.0e+307, log.p=TRUE)
[1] -Inf
> pnorm(-1.0e+308, log.p=TRUE)
[1] NaN
Warning message:
In pnorm(q, mean, sd, lower.tail, log.p) : NaNs produced
> pnorm(-1.0e+309, log.p=TRUE)
[1] -Inf
I don't know C and am not that skilled with R, so it would be hard for me
to look into